lambdaofgod/game_recommender

game_recommender

Using evolutionary algorithms for multiobjective recommender system

For results see docs/final_report.pdf

Other than that, the most important notebooks are:

notebooks/Game Metadata Exploration.ipynb

notebooks/Evaluation - Multiobjective Optimization of Hybrid Recommender.ipynb

notebooks/Hybrid Recommendations.ipynb

Notebooks containing implementations of recommenders:

notebooks/Content-Based Recommendations.ipynb

notebooks/User-Based Recommendations.ipynb

Running this project

pip install -r requirements.txt

nbdev_build_lib

pip install .

This project uses nbdev to build notebooks as Python project.

nbdev_build_lib extracts Python sources from notebooks and puts them into deeplearning_image_classification directory.